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1st International Workshop on

Processing and Retrieving Online Video-Based Content for e-Learning

in conjunction with

IEEE 1st Int. Conf. on Multimedia Information Processing & Retrieval (MIPR' 2018) Miami, Florida, USA April 10-12, 2018

Welcome to the 1st International Workshop on Processing and Retrieving Online Video-based Content for e-Learning

E-learning has evolved rapidly in the past decade, especially with the move towards an open education. Within the e-learning environment video-based lectures are the most effective learning objects to deliver educational content. This resulted in a massive repository of an encoded educational content within video-based lectures. Although using video based lectures is a merit to the e-learning environment, yet it has created many challenges to the learners. These challenges include the ability to search within the video file, retrieving different learning attributes from video content, indexing and matching video files to specific features describing the video content. Such features that can describe the content include, but not limited to, Identifying the topics, determining the educational level, extracting objects that are present, identify the teaching style within the video lecture, etc.

Providing content-aware video files is a desirable feature for learners wishing to customize their educational experience. Such customization, however, requires the collaboration of many techniques such as: information extraction, analysis, and high-performance processing of video content. We use this opportunity to organize a collaborative session to call out active researchers to share their recent and valuable progress in this exciting and challenging field.

Paper Submission

We invite authors to submit papers reporting original and unpublished research results pertaining to the topics of the workshop. There are two different submission types: regular papers (6 pages) and short papers (4 pages). Papers should follow the IEEE two-column template instructions. Submissions should include the title, author(s), affiliation(s), e-mail address(es), postal address(es), and abstract on the first page. The online submission site is: Submission Link (click here). If you have questions regarding web-submission of your paper, please contact one of the PC Co-Chairs. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted. Best Paper Award: IEEE MIPR will be presenting a Best Paper award and a Best Student Paper award. The best paper will be selected by separate committee and will be the one that reports the most novel and promising research work that has a high potential impact in the real world. Also, selected submissions will be invited to submit an extended version of their papers to journal special issues.

IEEE Paper formatting guidelines and specifications

The language of the conference is English.

All submissions will be handled electronically through the Easychair system website. Before you submit a paper, please make sure that you have an account on Easychair system. If not, please create one at http://easychair.org/

Here are the instructions, how to prepare your paper.

Here is paper template a in .doc format and in .tex format.

Topics of Interest

This workshop focuses on innovative research within, but not limited to, the following main research topics:

Topic detection and tracking techniques for video-based lectures
Comprehending new and unknown video
Novel techniques for Indexing video-based lectures
Algorithm to handle eLearning-based video segmentation
Innovative methods for detecting the difficulty level of spoken language
Algorithms for detecting and extracting teaching learning style from video-based lectures
Video-based learning for the workplace
Video-based learning-path composition
Video-based authoring tools and techniques
Video and multimedia production for learning
Other emerging trends in video-based learning